Principal Agentic AI Expert

Description Key Responsibilities Lead the technical vision, architecture, and roadmap for Agentic AI platforms and systems. Design and implement advanced Agentic AI capabilities, including planning, multi-agent collaboration, memory, RAG, tool use, evaluation, and observability. Translate enterprise needs into scalable, production-ready AI solutions. Evaluate emerging Agentic AI technologies and research and drive their integration into openJiuwen. Provide hands-on technical leadership, from architecture and prototyping to implementation and optimization. Represent openJiuwen globally and help grow its developer and enterprise ecosystem. Must Have Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or a related field; Ph.D. is an advantage. 8+ years of software engineering and AI experience, with hands-on expertise in LLMs, Generative AI, and Agentic AI. Recognized expertise and leadership in Agentic AI, with significant contributions to Agent platforms, frameworks, or enterprise AI solutions. Ability to combine technical vision with hands-on execution, from architecture and prototyping to production. Proven experience architecting, building, and scaling production-grade Agentic AI platforms and systems. Deep expertise in reasoning and planning, memory, RAG, tool use, context engineering, multi-agent systems, evaluation, and observability. Strong expertise in Python, software architecture, distributed systems, cloud, APIs, and AI infrastructure. Strong technical leadership, presentation, and communication skills, with the ability to influence technology direction and represent openJiuwen globally. Advantages Strong understanding of enterprise AI architecture, including reliability, security, scalability, performance, and cost efficiency. Experience with leading Agentic AI platforms, frameworks, and ecosystems, such as OpenAI Agents SDK, Claude ecosystem, OpenClaw, Hermes, or equivalent technologies. Experience leading or contributing to global open-source and developer communities. Demonstrated industry influence through conferences, publications, developer communities, enterprise engagements, research papers, patents, or advisory roles. Experience with Physical AI and embodied agent systems. Show more Show less